Effective uncertain fault diagnosis technique for wind conversion systems using improved ensemble learning algorithm

Effective uncertain fault diagnosis technique for wind conversion systems using improved ensemble learning algorithm

<p>This paper introduces a pioneering fault diagnosis technique termed Interval Ensemble Learning based on Sine Cosine Optimization Algorithm (IEL- SCOA), tailored to tackle uncertainties prevalent in wind energy conversion (WEC) systems. The approach unfolds in three integral phases. Firstly,...

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Bibliographic Details
Main Author: Khadija Attouri (18024307) (author)
Other Authors: Khaled Dhibi (16891524) (author), Majdi Mansouri (16869885) (author), Mansour Hajji (16869894) (author), Kais Bouzrara (16869906) (author), Mohamed Nounou (3489386) (author)
Published: 2023
Subjects:
Engineering
Electrical engineering
Electronics, sensors and digital hardware
Sine-cosine optimization algorithm (SCOA)
Feature optimization
Feature selection
Fault detection and diagnosis (FDD)
Wind energy conversion (WEC)
systemsMachine learning (ML)
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